Solving Multi-objective Optimization Problems with Chaotic Ant Swarm

摘要

Chaotic Ant Swarm is a recently new and promising algorithm of Optimization Problem based on the chaotic theory and foraging food processing of ants. This paper proposes a Multi-Objective Optimization version of CAS, named MOCAS, by changing the colony behavior organization. The proposed algorithm also introduced a re-distribution operation that ensures the uniform distribution of final result. We have validated it by several test functions taken from the standard literature. The results are exciting and show the competitiveness in multi-objective optimization.